Expanded autoencoder recommendation framework and its application in movie recommendation. - Baolin Yi; Xiaoxuan Shen; Zhaoli Zhang; Jiangbo Shu; Hai Liu 004 (SKIMA, 2016)

An Efficient Lightweight RFID Authentication Protocol with Strong Trajectory Privacy Protection. - Wei Zhang 139; Sanya Liu; Shengming Wang; Baolin Yi; Longkai Wu (Wirel. Pers. Commun., 2017)

A content-based recommendation algorithm for learning resources. - Jiangbo Shu; Xiaoxuan Shen; Hai Liu 004; Baolin Yi; Zhaoli Zhang (Multim. Syst., 2018)

A New Scalable Lightweight Grouping Proof Protocol for RFID systems. - Wei Zhang 139; Shiming Qin; Shengming Wang; Longkai Wu; Baolin Yi (Wirel. Pers. Commun., 2018)

An Interpretable Online Learner's Performance Prediction Model Based on Learning Analytics. - Wei Zhang 139; Yilin Zhou; Baolin Yi (ICETC, 2019)

Study on learning effect prediction models based on principal component analysis in MOOCs. - Wei Zhang 139; Shiming Qin; Baolin Yi; Peng Tian (Clust. Comput., 2019)

Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System. - Baolin Yi; Xiaoxuan Shen; Hai Liu 004; Zhaoli Zhang; Wei Zhang 139; Sannyuya Liu; Naixue Xiong (IEEE Trans. Ind. Informatics, 2019)

Deep Variational Matrix Factorization with Knowledge Embedding for Recommendation System. - Xiaoxuan Shen; Baolin Yi; Hai Liu 004; Wei Zhang 139; Zhaoli Zhang; Sannyuya Liu; Naixue Xiong (IEEE Trans. Knowl. Data Eng., 2021)

KGAN: Knowledge Grouping Aggregation Network for course recommendation in MOOCs. - Huanyu Zhang; Xiaoxuan Shen; Baolin Yi; Wei Wang 451; Yong Feng (Expert Syst. Appl., 2023)

RIECN: learning relation-based interactive embedding convolutional network for knowledge graph. - Wei Wang 451; Xiaoxuan Shen; Huanyu Zhang; Zhifei Li; Baolin Yi (Neural Comput. Appl., 2023)

Click-through rate prediction model integrating user interest and multi-head attention mechanism. - Wei Zhang 139; Yahui Han; Baolin Yi; Zhaoli Zhang (J. Big Data, 2023)

Causal Feature-Enhanced Collaborative Filtering Algorithm. - Chao Dai; Baolin Yi; Xiaoxuan Shen; Huanyu Zhang; Wei Wang 451; WeiZheng Luo (IJCNN, 2024)

Contrastive multi-interest graph attention network for knowledge-aware recommendation. - Jianfang Liu; Wei Wang 451; Baolin Yi; Xiaoxuan Shen; Huanyu Zhang (Expert Syst. Appl., 2024)

Knowledge-aware fine-grained attention networks with refined knowledge graph embedding for personalized recommendation. - Wei Wang 451; Xiaoxuan Shen; Baolin Yi; Huanyu Zhang; Jianfang Liu; Chao Dai (Expert Syst. Appl., 2024)

A Plug-in Critiquing Approach for Knowledge Graph Recommendation Systems via Representative Sampling. - Huanyu Zhang; Xiaoxuan Shen; Baolin Yi; Jianfang Liu; Yinao Xie (WWW, 2025)

Semantic relation-aware graph attention network with noise augmented layer-wise contrastive learning for recommendation. - Jianfang Liu; Wei Wang 451; Baolin Yi; Huanyu Zhang; Xiaoxuan Shen (Knowl. Based Syst., 2025)

The effect of ability grouping on students' computational thinking in shared regulation-supported collaborative programming. - Yu Lei; Xin Fu; Jingjie Zhao; Baolin Yi (Educ. Inf. Technol., 2025)